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Radiant Elephant Announces Launch of Two Breakthrough AI Visibility Solutions

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Radiant Elephant Announces Launch of Two Breakthrough AI Visibility Solutions

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With 47% of customers now using AI platforms like ChatGPT, Google AI Overviews, Perplexity, and Claude for business recommendations, companies face a critical new challenge: AI visibility. Most businesses are completely invisible when potential customers ask AI assistants for recommendations, effectively missing nearly half their audience.

Radiant Elephant, a boutique digital marketing agency in Northampton, Massachusetts, announces the launch of two breakthrough solutions addressing this visibility crisis:
Professional Generative Engine Optimization (GEO) Service – Comprehensive AI SEO backed by proven results and extensive testing.

Free AI Overview Readiness Scanner – A free tool allowing any business to assess their AI visibility readiness across major platforms instantly.

“We’ve spent the past several months running systematic tests across every major AI platform: ChatGPT, Google AI Overviews, Perplexity, Claude, and Gemini, to understand exactly what drives visibility increases. We’re not just talking about AI SEO theory; we’re showing measurable LLM position improvements for our clients through proven, repeatable strategies,” said Gabriel Bertolo, Founder, Radiant Elephant.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

The agency’s new GEO Service and AI Overview Readiness Scanner offer businesses clear advice and powerful recommendations for specific, actionable fixes prioritized by business impact. This solutions-focused approach has already shown to deliver an increase in clients’ AI visibility by 800%, a boost in their LLM ranking position by 83.4%, so their average AI search position is 2.3, and 75% increase in Top 3 AI visibility.

Some of the services included in the new solutions include:

Local Optimization: Traditional Local Search Engine Optimization services and Google Maps SEO best practices that significantly improve AI ranking.

Authority Building: Radiant Elephant researches and builds authority links on the sites that AI uses as sources for each client’s specific industry.

AI Keyword Research: The expert team understands that people search in AI programs differently. Searches are more conversational and long-tail.

Citation Gap Analysis: The agency takes the time to research the citations most important to AI search visibility that competitors have, but clients don’t.

Structured Data: Radiant Elephant writes custom, entity-rich Schema Markup that feeds all client details to all the bots and crawlers.

The Secret Sauce: Alongside its tried-and-tested methods, the team has also been testing a unique set of strategies that reverse-engineer how AI programs source information, specifically how they determine what companies to recommend when asked.

With a 90% client retention rate, Radiant Elephant is known for its owner-led service model, transparent education-first approach, and measurable ROI results. The agency’s expertise spans Web Design, traditional SEO, Generative Engine Optimization (GEO), digital advertising, and brand development.

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Yolando, a Competitive Intelligence and Generative Engine Optimization (GEO) Platform, Today Announced Its Official Commercial Launch With $8.5M USD in Total Cumulative Funding From Drive Capital

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Yolando, a Competitive Intelligence and Generative Engine Optimization (GEO) Platform, Today Announced Its Official Commercial Launch With $8.5M USD in Total Cumulative Funding From Drive Capital

By uniting real-time competitor tracking, performance insights, and on-brand content creation, Yolando helps marketing teams shape LLM recommendations and the buyers who act on them.

Ecer.com: Driving Foreign Trade into the Era of ‘Mobile Transactions’

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Ecer.com: Driving Foreign Trade into the Era of 'Mobile Transactions'

Ecer Logo & Brand Assets (SVG, PNG and vector) - Brandfetch

As the phone screen lit up and the video call connected, a globally recognized supplier specializing in high-end custom furniture named Guangzhou Dinghao Furniture Co., Ltd. completed its final confirmation with a European client. On the other end of the line, the overseas client’s purchasing manager reviewed the production line online, verified process details, and confirmed the cooperation terms before the call ended. From initiating the inquiry to finalizing the order, the entire process took place on a mobile device.
“In the past, this order would have taken at least a week to complete,” said the company’s foreign trade manager. “Now, a mobile phone is all we need.”

From “Waiting for Emails” to “Instant Progress”
This company’s past cross-border communication methods were no different from most foreign trade companies: email exchanges, waiting due to time zone differences, and repeated confirmations. A seemingly simple requirement confirmation often took several days.
The change occurred after they fully adopted the mobile maketplace of Ecer.com.
Through the platform’s instant messaging and audio-video functions, overseas buyers can initiate communication at any time, while the company uses fragmented time to reply and confirm. “Clients no longer have to wait, and we don’t have to delay either,” the manager stated, noting that mobile devices have significantly accelerated the transaction pace.
Platform data shows that companies using mobile tools have improved their average response speed by more than threefold, with a notable decrease in the rate of inquiry loss.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

Bringing “Factory Inspections” into Your Phone
A crucial step in closing deals is a mobile video factory inspection.
Using Ecer.com’s 360° panoramic and real-time video features, buyers can view the production environment, equipment operation, and quality inspection processes online. The entire process takes less than half an hour, yet it completes the trust verification that previously required an on-site visit.
“What matters most to the client isn’t the price, but whether we are genuine and reliable,” said the company’s manager. “Being able to see the actual site directly is more convincing than any written explanation.”
On Ecer.com, this type of “mobile factory inspection” is becoming the norm for high-value orders. Platform statistics show that immersive demonstrations can shorten the procurement decision-making cycle from several days to just hours.

Foreign Trade Is Becoming an “Always-Online” Job
. The company’s sales staff are rarely confined to their computers. Transactions can be conducted anytime, anywhere—on high-speed trains, during business trips, or even at trade shows.
“Foreign trade is no longer a job for a specific time period, but a state that happens all the time.” This shift is not an isolated case. More and more Ecer.com users are adapting to this new way of working: communicating via mobile devices, building trust through visualization, and improving efficiency with intelligent systems.

In the cross-border B2B field, the true value of a platform ultimately lies in its ability to genuinely help businesses close deals faster, operate at lower costs, and effectively reduce uncertainty.
Ecer.com has not changed the essence of trade, but rather continuously simplifies foreign trade processes through mobile and intelligent solutions, allowing cross-border transactions to return to an efficient and direct state—letting business happen naturally at the right moments.

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Conquer Launches Voice Plus, A Mobile-First Field Sales App That Eliminates Manual Work

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Open Source AI News and Analytics Platform Launches

News | Conquer

Conquer has launched Voice Plus, a mobile-first field sales app that lets reps capture calls, meetings, and notes in under 30 seconds, eliminating end-of-day CRM admin. Built natively for Salesforce, Voice Plus keeps activity data accurate and real-time while giving leaders clearer visibility into field performance and forecasts.

Conquer.io, the leading Salesforce-native platform built to help sales teams engage and close deals faster with less friction, announced the launch of Voice Plus, a mobile application built specifically for field sales teams who spend most of their day away from a desk. The app is an extension of Conquer Voice, which is a carrier-grade power dialer, built natively within Salesforce.

Field sales reps often delay or skip CRM updates because mobile data entry is slow and disruptive. As a result, activity data is incomplete, forecasts are unreliable, and reps are left doing a “second shift” of administrative work at night. Voice Plus addresses this problem by making activity capture fast enough to happen in the moment.

With Voice Plus, reps can make and receive calls with one tap, log in-person meetings, dictate notes on the go using voice-to-text, and apply structured dispositions in under 30 seconds. All activity syncs instantly, keeping Salesforce as the system of record while eliminating manual follow-up work.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

“Field reps don’t need a full CRM on their phone. They need a simple process that’s easy to follow,” said Greg Moran, Chief Executive Officer at Conquer. “Voice Plus was designed around the reality of field sales: conversations happen on the road, between meetings, and in real time. When logging is faster than any workaround, reps actually do it.”

The impact goes beyond rep productivity. Because activity is captured immediately and consistently, sales managers gain real-time visibility into field activity, enabling more accurate forecasting and proactive coaching. Sales operations teams benefit from clean, structured data without manual cleanup or compliance chasing.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Voice Plus supports both iOS and Android devices. The app uses Salesforce authentication, respects existing permissions, and syncs directly to Salesforce.

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New Relic Data Report Reveals Clear Link Between AIOps Usage and Increased Engineer Productivity

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New Relic Data Report Reveals Clear Link Between AIOps Usage and Increased Engineer Productivity

Users of New Relic’s AI-strengthened observability shipped code at an 80% higher frequency on average than non-AI users in 2025

Data from 6.6 million platform users also shows that AI users resolved issues roughly 25% faster than non-AI users

New Relic, the Intelligent Observability company, published its 2026 AI Impact Report, which found a significant connection between usage of AI-strengthened observability features and noise reduction, Mean Time to Close (MTTC) of issues and deployment velocity. This report draws on aggregated, anonymized data from 6.6 million users of the New Relic Intelligent Observability Platform over the course of 2025, comparing those with New Relic AI capabilities versus those without. New Relic AI refers to the platform’s generative AI and AIOps features, which use a mixture of ML, generative, and deterministic methodologies to create value.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

New Relic’s 2026 AI Impact Report found that users of its AI-strengthened observability capabilities in 2025 shipped code at an 80% higher frequency on average than non-AI users in 2025

Reducing the noise with higher correlation rates

Engineers spend 33% of their time firefighting or addressing system disruptions. In 2025 alone, New Relic customers managed 2.2 billion alert events, with nearly a billion originating in production. AI-strengthened observability cuts through this noise by automatically correlating signals into actionable incidents. According to the report, New Relic AI users achieved a 2X higher correlation rate and consistently generated 27% less alert noise than non-AI accounts, allowing them to spend less time firefighting and freeing them up to focus on other responsibilities, such as shipping new features.

Resolving issues nearly 2X faster with AI

With noise suppressed, success is measured by MTTC, which tracks the average duration issues remain open. MTTC bears a strong correlation to how quickly a system recovers from disruption. The data shows that New Relic AI users resolve issues on average 25% faster than their peers, a gap that widens significantly during high-pressure periods. In May 2025, AI-enabled accounts averaged 26.75 minutes per issue—nearly half the 50.23 minutes required by non-AI users. This 23-minute head start per incident preserves engineering momentum and prevents “investigation stall” when every second counts.

The deployment multiplier

The report draws a clear correlation between a reduction in the time spent on user toil, i.e., triaging and cutting through the noise, and code shipping velocity. While non-AI users averaged 87 deployments per day during peak periods, AI-empowered teams achieved up to 453 deployments per day—a 5X increase in the ability to ship new features and updates to market. The data shows that this considerable surplus of engineering hours may allow organizations to ship code at a much higher frequency, approximately 80% higher on average than New Relic’s non-AI users.

“AI is bringing a level of complexity to modern software operations that is moving beyond human ability to manage. In tandem, AI is also helping solve the problem it created,” said New Relic Head of AI Camden Swita. “The data from our user base tells the story of a new operational baseline for businesses. Those using AI-strengthened observability reduce noise and accelerate resolution, unlocking more time to focus on building new features rather than maintaining existing ones. Ultimately, this is a measure of an organization’s ability to respond to the market. When the operational tax is minimized, the speed of the entire company accelerates.”

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Atrium Launches AIR, Its New Innovation Lab and Product Incubator, and Unveils ZephyrIQ, a Conversational AI Platform for On-Demand Workforce Insights

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Atrium Launches AIR, Its New Innovation Lab and Product Incubator, and Unveils ZephyrIQ, a Conversational AI Platform for On-Demand Workforce Insights

AIR accelerates Atrium’s product innovation strategy, launching with ZephyrIQ to deliver instant, AI-powered insights from complex enterprise workforce data.

Atrium, a global Talent Solutions and Extended Workforce Management provider, announced the launch of Atrium Innovation & Research™ (AIR), a technology innovation lab and product incubator designed to accelerate the development of forward-thinking workforce technology solutions. As part of the launch, Atrium also unveiled ZephyrIQ, a next-generation workforce intelligence platform that uses agentic AI and a conversational interface to deliver instant, on-demand insights across contingent workforce programs.

Atrium has been a service trailblazer and innovator in the talent solutions and contingent workforce space for more than 30 years. Highly customized service and deep client partnership will always differentiate us.

AIR serves as Atrium’s dedicated product innovation engine, focused on identifying and addressing unmet needs across the HR and workforce technology landscape. Through AIR, Atrium will design, build, and incubate technology solutions that complement its deep services expertise while solving real-world challenges faced by enterprises managing increasingly complex extended workforce ecosystems.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

Brad Martin, Atrium’s Chief Revenue Officer, will also lead AIR as President, guiding product vision, development, and go-to-market strategy for solutions launched through the incubator.

“Atrium has been a service trailblazer and innovator in the talent solutions and contingent workforce space for more than 30 years,” said Brad. “Highly customized service and deep client partnership will always differentiate us. With AIR, we’re reinforcing that commitment by investing in technology innovation that leverages advancements in AI and machine learning to deliver meaningful, force-multiplying value for our clients and the market in a rapidly evolving workforce landscape.”

The first product to emerge from the AIR innovation lab, ZephyrIQ is a workforce intelligence platform designed to transform how organizations access, analyze, and act on extended workforce data. Powered by agentic AI and a human-like conversational interface, ZephyrIQ enables on-demand access to insights about your contingent workforce program – without relying on time-consuming manual reporting, hard-to-use dashboards, or stale program data.

Being developed specifically to address the complexities of understanding your extended workforce program details, ZephyrIQ enables leaders in Procurement, HR, and Contingent Workforce program management to access accurate, real-time intelligence through a simple conversational interface. The platform combines advanced reasoning, natural language interaction, and deep workforce analytics to provide clear answers, identify trends, and guide strategic decisions.

“ZephyrIQ represents a major shift in how companies access, consume, and make sense of the immense amount of data generated through their contingent programs,” said Rebecca Cenni-Leventhal, Founder and CEO of Atrium. “For years, leaders have struggled to make sense of disparate systems, outdated dashboards, and incomplete data. With ZephyrIQ, you can simply ask, and the insight appears – accurately, instantly, and in conversational language. It’s the closest thing to always having a skilled workforce business analyst at your side. It’s an intelligent partner that knows your program inside and out.”

ZephyrIQ is scheduled to release in beta in Q1 2026. Atrium is currently inviting organizations with extended workforce programs to participate in the early adopter program at launch.

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Why the Brain Rejects Ads Marketers Love

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Why the Brain Rejects Ads Marketers Love

Most marketers know the feeling. The creative is strong, the strategy is sound, and the media plan checks out. On paper, the campaign should perform, but when results arrive, something is not right.

The reflex is to go back to the usual suspects: wrong audience, weak offer, poor timing, flawed attribution. Those all matter, but often the overlooked variable isn’t in the media plan at all. It’s in the human mind.

Every ad you run has to fight its way through a series of split-second checks inside a busy human brain. Luckily for marketers, cognitive psychology has spent decades studying these processes and those findings translate into a simple, usable framework that identifies attention, memory, choice, trust, and emotion as five crucial components to our decision making.

Think of it as five questions your ad campaign has to answer, and if it can’t, even the cleverest idea can stall.

Question 1: Does it earn a moment of attention?

Our brains are incredibly good at ignoring things. In one famous experiment, participants were asked to count the number of basketball passes they saw in a video but often failed to notice a person in a gorilla suit walking right through the scene. They’re not careless – they’re focused. Psychologists call this inattentional blindness.

Your audience is in that state most of the time when they are scrolling through feeds, half-watching a show, or chatting with someone nearby. They’re not waiting for your message. They’re doing something else and will only divert attention if something earns it.

To give your ad a fighting chance:

  • Decide on one primary job like a word, image, or action that matters most.
  • Make that element visually dominant. Everything else should support, not compete.
  • Avoid cramming in extra “nice to have” details that pull focus away from what you’re actually trying to communicate.

If the eye doesn’t know where to go first, the brain often doesn’t bother going at all.

Question 2: Will it leave a lasting impression?

Even when people notice an ad, very little survives beyond that moment. One of the most robust findings in psychology, the Serial Position Effect, shows that we’re more likely to remember the first and last items in a sequence than anything in the middle.

Now picture a typical 30-second spot or hero banner with multiple benefits, features, and proof points stacked together. In a creative review, everyone on the team can repeat them back. In real life, your audience catches the message once, while thinking about dinner or their next meeting.

To design for memory:

  • Choose one idea you’d be happy for someone to recall the next day.
  • Put it early, and if possible, echo it at the end.
  • Repeat it in different forms—visual, verbal, and on-screen text—instead of rotating through a list.

If you don’t make that choice, the brain will, and it may not pick the message you care about.

Question 3: Is the next move obvious based on the choices provided?

Let’s assume your ad works and someone notices it and understands the purpose. The next hurdle is where choice can quietly kill performance.

We like to think that offering more options is always better. In reality, too many choices can cause people to freeze, delay, or walk away altogether. The Paradox of Choice describes this tension where abundance feels good in theory but often leads to indecision and regret in practice.

You see it in landing pages that offer multiple CTAs of equal weight, complex pricing grids, long menus, and modular add-ons From the brand’s perspective, this is “empowering the customer.” From the brain’s perspective, it’s extra work.

A more brain-friendly approach:

  • Highlight a primary path (“Start here” or “Recommended”) at the moment of decision.
  • Reserve deeper choice for later in the journey, once someone is more committed.
  • Remove redundant or low-value options that only add friction.

The goal isn’t to trap people—it’s to make the right action feel easy.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

Test 4: Does it feel trustworthy to engage?

Before anyone processes your message, they judge whether they can trust it almost instantly. Psychologists call this “thin-slicing” or forming surprisingly accurate impressions from very little information.

Those first seconds are less about reading and more about sensing. People are asking themselves:

  • Does this look like a real brand or a scam?
  • Is the tone consistent with what I know about them?
  • Is it clear what they want from me?

If there’s any doubt, the safest move is to keep scrolling.

To clear the trust bar quickly:

  • Make your brand and category obvious right away.
  • Use plain language and avoid overclaiming or bait-and-switch setups.
  • Surface one or two credibility cues early—recognizable partners, real customer quotes, or simple reassurances when data or health is involved.

You can’t force trust, but you can avoid accidentally signaling the opposite.

Test 5: Does it make viewers feel anything?

We like to imagine ourselves as rational shoppers, weighing pros and cons. In reality, emotion does most of the filtering. It doesn’t replace logic, but it decides which messages get a real hearing.

That’s why highly “informative” campaigns can underperform. They deliver facts, charts, and technical detail, but never answer the emotional question of ‘Why should I care?’ underneath. Meanwhile, a simpler story that taps into happiness, humor, pride, safety, or optimism have the potential to move people further with fewer words.

To put emotion to work:

  • Pick a primary feeling you want to leave behind—confidence, urgency, reassurance, belonging.
  • Choose imagery, situations, and language that naturally evoke that feeling.
  • Make sure the tone matches the category and context. Feelings that work in one space can backfire badly in another.

If your ad doesn’t make anyone feel anything, it’s asking the rational mind to do too much on its own.

Turning science into a practical tool

None of these questions live in isolation. In the real world, your audience runs through all five in seconds. Did this catch my eye? Did anything land? Do I know what to do? Does it feel legit? Does it matter to me? Any “no” in that chain weakens the impact of everything else.

The point isn’t to turn every brief into a neuroscience report. It’s to use this framework as a simple tool:

  • When you’re developing creative, check concepts against the five questions.
  • When you’re testing, design experiments that isolate one element at a time—headline, CTA, choice architecture, emotional tone.
  • When a campaign underperforms, diagnose it through this lens instead of only tweaking targeting or budget.

You’ve already invested in the ideas, the craft, and the storytelling. Applying what we know about the brain is how you make those components work harder.

The next time you’re in a review and someone says, “This is the best ad we’ve ever made,” add one more line to the conversation. “Will it make sense to a busy brain in five seconds?” If the answer is yes, you haven’t just made a great ad—you’ve given it a real chance to win where it counts.

DataSelf Releases Analytics Plus™ for Next-Generation Business Intelligence with AI

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DataSelf Releases Analytics Plus™ for Next-Generation Business Intelligence with AI

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The Industry’s First End-to-End BI Solution with AI-Assisted Data Pipelines, Semantic Modeling, and KPI Intelligence

DataSelf Corp., the mid-market leader in BI-based analytics, announced the release of DataSelf Analytics Plus™ powered by DataSelf ETL+ Web, a next-generation suite of business intelligence solutions that leverages artificial intelligence. ETL+ Web combines four key components that uniquely support advanced analytics with a self-service deployment module that reduces implementation time from days to minutes.

With a focus on BI technology starting in 2005, and an initial development of “BI with AI” beginning in 2018, DataSelf Corporation has realized a vision whereby AI supports organizations on both the front-end and back-end of a BI technology. By embedding AI data analysis on the front-end of a BI solution, DataSelf provides business users with a conversational medium in which their questions are answered and related business insights are presented via AI’s intuitive interface.

DataSelf AI+™ is a suite of AI-powered components that complement the ETL+™ data warehousing module, the DFT+™ automated data modeling module, and the KPI+™ metric, report, and dashboard templates. By supercharging every layer of the BI stack with AI, DataSelf enables organizations to cover traditional reporting and implement a trustworthy decision-support system that’s built on clarity, consistency, and ease of use.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

According to Joni Girardi, CEO of DataSelf, “Too many organizations are adopting AI technologies that are superficial or aren’t trustworthy. DataSelf BI with AI goes deep and wide into an organization’s decision support system – including data cleansing and optimization, automated modeling and metric creation, and the assurance of business insight that results in the all-important single version of the truth.”

ETL+ Web also addresses the time-consuming process of installing an end-to-end BI solution – or even evaluating it. DataSelf’s new Self-Service Deployment™ dramatically simplifies it into a minutes-long process.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

As Girardi adds, “How can BI developers expect prospective clients to adopt their solutions when the very process of evaluating those solutions takes way too long? If BI is to fulfill its promise to make decision-making faster and easier, the BI solution itself has got to be quick to deploy, test, and customize. By leveraging AI across the board, DataSelf’s next-generation BI simplifies and expedites the reporting process and delivers on that promise.”

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75% of Visitors Will Switch to a Competitor When a Website Feels Unsafe, Liferay Survey Finds

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75% of Visitors Will Switch to a Competitor When a Website Feels Unsafe, Liferay Survey Finds

New report shows how small glitches and visual mistakes instantly erode digital trust and drive users away

Everyday browsing is full of risk, and even minor inconsistencies can derail trust. Liferay, a leading provider of Digital Experience Platforms (DXPs), reveals in its latest research that 75% of users will abandon a website that feels unsafe or behaves oddly, often switching to a competitor to complete the same task.

The 2026 Liferay Broken Trust Report, conducted in December 2025, surveyed 1,000 U.S. adults aged 18 and older across regions and demographics via the third-party platform Pollfish. Respondents shared experiences with suspicious or “off” moments on websites, detailing how these moments affected trust and which signals helped restore confidence.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

Key findings include:

  • One-strike trust economy: 61% of respondents say a single “off” moment changes how much they trust the brand.
  • Reliability equals credibility: 71% say website reliability is a major factor in overall trust.
  • Immediate instinct to flee: 40% immediately question safety when a page looks different; 28% leave immediately.
  • Big brands aren’t immune: 91% believe even well-known brands can fall victim to fake or compromised websites.

Even brief glitches can have lasting impact, and companies that fail to address small inconsistencies risk driving users away and undermining their credibility online.

The report points to key strategies to reduce abandonment and ensure digital experiences work for users, not against them:

  • Communicate clearly: Provide visible messages explaining glitches and fixes.
  • Ensure design consistency: Maintain layout stability and predictable behavior across pages.
  • Surface reassurance signals: Use visible security cues, such as security badges, recognizable brand elements, and consistent design patterns, to ensure users feel safe enough to continue on the site.
  • Monitor and fix glitches promptly: Reduce layout shifts, asset errors, and unexpected pop-ups before they reach users.

“Customers are cautious for good reason,” said Bryan Cheung, CMO at Liferay. “They encounter scams everywhere, so small mismatches read as a risk. Trust is decided in seconds by what the page does and the signals it shows.”

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SpotDraft Secures $8M from Qualcomm Ventures, Pioneering On-Device AI for Enterprise Legal

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SpotDraft Secures $8M from Qualcomm Ventures, Pioneering On-Device AI for Enterprise Legal

Strategic investment extends partnership advancing privacy-first legal AI on Qualcomm processors

SpotDraft, the leading AI-powered contract lifecycle management (CLM) platform, has raised $8 million from Qualcomm Ventures in a strategic Series B extension. The investment follows SpotDraft’s $56 million Series B raise in February 2025 and reflects accelerating enterprise demand for secure, high-performance legal AI that can run directly on-device.

VerifAI, SpotDraft’s AI-powered contract review tool, runs entirely on device, including embeddings, clause extraction, risk scoring, and applying edits directly on Snapdragon processors.

The funding will be used to deepen SpotDraft’s product and AI capabilities and expand its enterprise presence across the Americas, EMEA, and India, and the relationship extends beyond capital. SpotDraft was featured at Qualcomm Technologies’ Snapdragon Summit 2025, showcasing fully on-device contract review running on Snapdragon® X Elite laptops without cloud connectivity, validating the viability of privacy-first AI for enterprise legal operations.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

“This investment validates the architectural direction we’ve taken with SpotDraft,” said Shashank Bijapur, Co-founder and CEO, SpotDraft. “Legal teams handle some of the most sensitive business information, yet most AI tools still require sending that data to external cloud models. We’ve developed the SpotDraft platform to run core contract intelligence workflows locally on device, giving legal teams AI capabilities without compromising performance, privacy, security, or control.”

VerifAI, SpotDraft’s AI-powered contract review tool, runs entirely on device, including embeddings, clause extraction, risk scoring, and applying edits directly on Snapdragon processors. While the application requires internet connectivity for sharing, login, and license checks, contract review, risk scoring, and editing execute completely offline on the local machine.

“AI is driving a fundamental shift in how legal workflows are executed, bringing new levels of efficiency to an inherently text-intensive domain,” said Quinn Li, Senior Vice President, Qualcomm Technologies, Inc., and global head of Qualcomm Ventures. “SpotDraft’s ability to deploy their proprietary models securely on-device using Snapdragon platforms represents a meaningful advancement for a privacy-critical industry. We’re excited to enable high-performance, secure AI at the edge and see strong potential for this technology across the legal ecosystem.”

“SpotDraft is deliberately separating what needs to run close to the document from what benefits from the cloud,” said Madhav Bhagat, Co-founder and CTO, SpotDraft. “Core contract understanding, guideline checks, and recommendations run locally on device, while orchestration, learning, and large-scale analytics remain cloud-driven. Optimizing these workflows for the Qualcomm® Hexagon™ NPU allows us to deliver low-latency, private AI experiences without compromising accuracy.”

The investment aligns with Qualcomm Ventures’ conviction that on-device AI represents the future of enterprise computing. The firm has backed both foundational AI leaders like Anthropic and Cerebras and enterprise applications demonstrating real-world edge AI deployments, from industrial robotics to fleet safety to security operations.

SpotDraft has raised $92 million to date from investors including Qualcomm Ventures, Vertex Growth Singapore, Trident Growth Partners, Xeed VC, Arkam Ventures, and Prosus Ventures. The company continues to see strong momentum, with 100% year-over-year growth in customer acquisitions, contract volumes growing 173% year-over-year, and nearly 50,000 monthly active users now processing over 1 million contracts annually. SpotDraft’s customer base includes Apollo.io, Panasonic, Zeplin, and Whatfix, among others. The company was recognized in Fast Company’s Most Innovative Companies and Forbes Asia’s 100 to Watch.

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Amaze Announces Expanded Partnership with Contend to Scale the Next Generation of Creator-Led Commerce

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Amaze Announces Expanded Partnership with Contend to Scale the Next Generation of Creator-Led Commerce

Collaboration Elevates Longstanding Advisory Relationship, Blending Creative Studio Expertise with Global Commerce Capabilities for High-Conversion Product Launches

Amaze Holdings, Inc. a global leader in creator-powered commerce, announced an expanded strategic partnership with Contend, the creative studio behind innovative, high-impact brand launches for global audiences. The collaboration formalizes and elevates Contend’s existing role as a strategy advisor to Amaze, expanding the relationship into a fully integrated partnership focused on scaling creator-led commerce through immersive storytelling and integrated fulfillment.

Building on a successful advisory relationship, Amaze and Contend will now partner to shape Amaze’s brand campaigns and go-to-market strategies, ensuring how the platform is positioned and marketed delivers maximum value to creators. The expanded partnership brings together Contend’s proven ability to turn culture into measurable demand with Amaze’s global commerce platform. This will enable creators and brands to launch products that seamlessly connect content, community, and conversation. Contend has helped leading brands—including Microsoft, Amazon, Meta, Apple TV+, and Ticketmaster—build audience-first formats that drive measurable business outcomes.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Throughout 2026, Amaze and Contend plan to roll out a slate of creator- and brand-led commerce launches across food, culture, entertainment, and lifestyle, anchored by larger platform activations.

What the Partnership Delivers

Through Amaze and Contend’s partnership, creators and brands gain access to:

  • End-to-end launch strategy and execution
  • Innovative video, live, and shoppable content formats
  • Creator-led auctions, timed drops, and livestream shopping
  • Immersive experiences, including AR activations and real-world unlocks
  • Global fulfillment and commerce operations powered by Amaze

“Our mission at Amaze is to help creators build real, durable businesses,” said Aaron Day, CEO of Amaze. “Contend has been a trusted advisor to Amaze and has consistently demonstrated an ability to turn storytelling into demand. Together, we’re building a scalable model that drives engagement and revenue at global scale.”

“At Contend, we believe content should be built with an endgame, starting with what people already care about and translating that attention into real action by expanding access to the things they love,” said Steven Amato, Founder and CEO of Contend. “Expanding our partnership with Amaze allows us to bring that philosophy to life at scale.”

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Strategic and Investor Impact

For Amaze, the partnership strengthens how it brings its platform to market by deepening creator relationships, expanding brand partnerships, and driving gross merchandise value through clearer positioning, stronger demand, and more effective product launches. For Contend, it extends a proven storytelling and commerce model into an always-on platform environment designed for scale.

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RainFocus Introduces RainFocus Nexus, a Secure, Cloud-Agnostic System of Specialized AI Agents to Act As Teammates to Event Marketers

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RainFocus Introduces RainFocus Nexus, a Secure, Cloud-Agnostic System of Specialized AI Agents to Act As Teammates to Event Marketers

AI agents support decision-making, handle complex configurations and adaptations, and seek to be interoperable with organizations’ existing enterprise stacks

RainFocus™, provider of the next-generation event marketing platform, announced RainFocus Nexus, an intelligent collaboration system for event marketing workflows. Unveiled during the keynote address at RainFocus’ annual flagship event, INSIGHT, the framework introduces a proprietary orchestration and context layer to the RainFocus platform that empowers specialized AI agents to act as teammates to event marketers, planners, and sales reps.

RainFocus Nexus represents a paradigm shift from a modular feature set of tools with which users click buttons to configure rules to a modular augmented workforce with which users set goals and the platform configures itself. This process incorporates a Human-in-the-Loop (HITL) approach for continued governance and control.

The framework champions an open, interconnected future, rejecting the “walled garden” approach in favor of an ecosystem-first design. RainFocus Nexus allows for interoperability, built on open standards like the Model Context Protocol (MCP) and A2A (Agent-to-Agent) communication. It enables organizations to “bring their own infrastructure” via its cloud-agnostic approach and plug RainFocus Nexus agents into their existing enterprise stacks.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

RainFocus Nexus is defined by a three-tiered architecture that bridges strategy and execution, transforming event management from a passive system of record into an augmented, autonomous workforce.

  1. The Orchestration Layer: Specialized agents in this modular set are each designed for specific jobs to be done within the event lifecycle.
    • Agents available today for select clients:
      • Configuration Agent: Automates complex setup workflows such as registration and branding, reducing time-to-launch by up to 50%.
      • Concierge Agent: Serves as a personal guide for attendees, handling scheduling, wayfinding, and recommendations in real time.
    • Agents available in the near future:
      • Growth Agent: Accelerates pipeline by identifying high-value targets, personalizing outreach, and instantly delivering buying signals to sales and demand gen teams.
      • On-Site Agent: Provides event teams with a real-time pulse on critical event metrics and assistance with event operations through agentic decision-making support.
      • Integration Agent: Orchestrates data flow and connectivity across the wider martech and revops stacks, ensuring event marketing data is acted on immediately.
  2. The Context Layer: This underlying intelligence layer translates raw data into “operational intuition” by moving beyond simple datasets. It understands between the lines and supports decision-making with a real-time pulse on attendee sentiment and event program requirements.
  3. The System of Record: The data substrate that powers RainFocus Nexus is made possible through RainFocus Modules (Attendee, Content, Exhibitor, On-Site, Insight, Sales) and the Global Attendee Profile. It acts as the single source of truth for event marketing, feeding existing martech and revops stacks.

What RainFocus Executives Are Saying:

  • Marius Milcher, VP of Platform Strategy and AI: “We’re charting the evolution from a static ‘system of record’ to a dynamic ‘system of context.’ Central to this vision is the architecture of a dedicated Context Layer designed to understand and support the ‘messy middle’ involved in events marketing orchestration. By laying this foundation, we enable agents to become intuitive teammates for your planners, marketers, and sales reps — proactively anticipating the next best action to turn your event into a responsive growth engine.”
  • JR Sherman, CEO: “From the beginning, we’ve highlighted the importance of real-time unified data, especially given the vast amounts of first-party behavioral insights gleaned through a multitude of formats across the event marketing channel. RainFocus Nexus is built on top of the RainFocus platform, enabling customers to leverage our integrated and consolidated architecture as a single source of truth to power our AI agents as well as theirs. Together, we’re placing customer journey optimization well within reach.”
  • Ashleigh Cook, CMO: “We have the benefit of understanding the entire customer journey across multiple systems. Our agents are equipped with the right context for real-time situational awareness, enabling them to act proactively to automate complex workflows, offer scalable attendee personalization, signal sales and marketing teams to accelerate pipeline opportunities, and more. We’re shifting from ‘AI as a feature’ with isolated tools like chatbots to ‘AI as a workforce’ with integrated agents.”
  • Brian Gates, SVP of Industry Strategy: “The key differentiator is that RainFocus Nexus was designed for the agentic web, ensuring interoperability, governed autonomy, and vendor neutrality. Our users gain a near limitless superpower to architect experiences at unprecedented scale. Their ability to accelerate lifetime value, exponentially grow loyalty, and be hyper-focused on the quality of engagement will usher in a new era of experiential marketing.”

Additional RainFocus Announcements at INSIGHT:

  • Sales Module: The Sales Module connects sales, events, and marketing around the same audience, data, and outcomes to close any visibility and communication gaps between teams. It enables sales leaders to track sales activities relative to sales goals. Events move from being isolated moments to becoming true revenue engines.
  • RainFocus Webinars: Most organizations still manage webinars separately from their event strategy. RainFocus Webinars introduces two new, connected capabilities: webinars built into Base Module for recurring standalone programs, and embedded virtual and hybrid session technology for large, multi-track events. Both are run on the RainFocus platform; use the same data model, governance, and branding; and flow into the Global Attendee Profile.
  • Meetings: Designed for sales teams, event teams, and executives to create measurable moments that drive business outcomes without logistical chaos. Hosts can manage availability, rooms, locations, and approvals in one place. Sales can request, reschedule, and prepare without spreadsheets or side emails. Event teams can keep control while removing friction for everyone involved.

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Comscore 2026 State of Programmatic Report: CTV and Audio Expected to Drive Growth With Cross-Channel Performance Measurement Critical to Smarter Allocation Across Platforms

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Comscore 2026 State of Programmatic Report: CTV and Audio Expected to Drive Growth With Cross-Channel Performance Measurement Critical to Smarter Allocation Across Platforms

Third annual Proximic by Comscore report underscores performance accountability, with AI-powered optimization now viewed as essential

Proximic by Comscore released its 2026 State of Programmatic Report, based on over 200 media buyer respondents, with 58% expecting their programmatic investment to increase in 2026 and 87% saying cross-channel performance metrics inside programmatic platforms are critical or valuable for decision-making. The findings signal a maturing programmatic market focused less on scale at all costs and more on intentional spend, stronger control layers, and accountable performance across channels.

“Programmatic is entering its mature growth phase, where buyers are moving budget with purpose and demanding transparency, quality, and outcomes across every screen,” said Rachel Gantz, Managing Director of Proximic by Comscore. “This year’s report shows the overwhelming majority of marketers recognize that AI-powered optimization is essential and that the next wave of growth will come from smarter allocation across CTV, audio, and privacy-forward activation.”

Marketing Technology News: MarTech Interview with Lee McCance, Chief Product Officer @ Adverity

Key findings from the 2026 State of Programmatic Report

Programmatic growth continues, led by CTV

  • More than half, or 58% of respondents expect their programmatic investment to increase in 2026.
  • CTV and Audio are the only two media channels expected to see year-over-year programmatic budget growth, with CTV expected to capture 26% of media budgets on average and audio expected to capture 10% on average.
  • The largest funding source for programmatic CTV and audio budgets in 2026 is expected to be from linear TV. 45% of marketers are moving budgets from linear TV to CTV, and 21% are reallocating spend from linear to programmatic audio.

AI is now table stakes, with a hybrid operating model

  • 82% of marketers say AI-powered optimization is essential.
  • 69% of respondents plan to use some AI-generated creative, but only 11% expect AI to make up more than 40% of their creatives.
  • Top AI applications marketers expect to rely on in 2026:
    1. Audience targeting and modeling (88%)
    2. Campaign pacing and bid automation (77%)
    3. Measurement and attribution (71%)
    4. Fraud detection and brand safety (70% )

Privacy-forward activation pushes contextual and first-party approaches

  • 43% of respondents plan to increase their use of contextual targeting in 2026.
  • In privacy-regulated verticals, 50% of respondents say that contextual is their main targeting tactic.

Marketing Technology News: What is a Full Stack Marketer; What MarTech Matters Most to Full Stack Marketers?

Outcomes matter more than engagement

  • Marketers rank the following metrics as most important when measuring the effectiveness of their programmatic campaigns:
  • Conversion rate (62% of respondents)
  • ROAS (47% of respondents)
  • Reach and frequency (46% of respondents)
  • Click through rate (CTR) (39% of respondents)
  • Social engagements (7% of respondents)

As programmatic expands further into CTV and audio and privacy expectations continue to rise, buyers are prioritizing strategies that improve quality, reduce risk, and connect spend to business outcomes. The 2026 report introduces an evolved view of the programmatic stack, focusing on “Growth, Control, and Performance,” reflecting how buying teams are actually planning and operating today.

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FADEL Unveils FADEL AIVA™, Its AI Technology for Brand Compliance and Licensing Operations

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FADEL Unveils FADEL AIVA™, Its AI Technology for Brand Compliance and Licensing Operations

FADEL, a global leader in AI-driven brand compliance and licensing software, announced FADEL AIVA™, its AI technology designed to transform how organizations manage end-to-end licensing and marketing compliance operations.

AIVA unifies FADEL’s generative, analytical, and predictive AI capabilities along with purpose-built AI agents embedded in FADEL’s Brand Vision and IPM Suite solutions, enabling intelligent automation across complex licensing and marketing workflows.

“AIVA represents a fundamental shift in how licensing and marketing teams operate,” said Tarek Fadel, Founder and CEO of FADEL. “We’re moving beyond AI that simply generates insights to AI that also acts on them, helping organizations protect their brands, reduce compliance risk, and operate faster and more confidently and securely across complex global workflows.”

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

AIVA delivers insight with vision – detecting expired content across social platforms, combating unauthorized grey market sellers, reducing copyright infringement from licensed IP, predicting royalty billings, suggesting strategies to mitigate tariff impact, and accelerating brand compliance across products and content.

Built on the AWS Bedrock Agentic AI platform, AIVA introduces specialized AI agents that reason and act within real licensing and marketing processes, streamlining approvals, reducing risk, and accelerating decision-making without disrupting existing workflows.

Initial AIVA agents include:

  • AIVA Reviewer Agent – Embedded in Product Approval workflows, this agent reviews product submissions against brand guidelines and licensing terms, validates property and product accuracy, moderates content for issues such as harmful material, and routes items back to licensees for revision or acknowledgement before licensor approval.

  • AIVA Contract Ingestion Agent – Operating alongside FADEL’s Brand Vision and IPM Suite, this agent interprets licensing contracts, extracts rights and obligations, and automatically creates parties, deals, and royalty payment terms to support downstream automation for brand compliance and royalty billing.

Marketing Technology News: Is the Traditional CDP Already Out of Date?

Since 2021, FADEL has delivered continuous AI innovation to improve operational efficiency and customer experience. With AIVA, FADEL builds on this foundation, introducing agents that execute within workflows, not just inform them.

FADEL’s 2026 roadmap will expand AIVA with additional agents across licensing, royalty management, and marketing compliance.

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SutiCLM Redefines Contract Management With AI-Powered Automation and Intelligence

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SutiCLM Redefines Contract Management With AI-Powered Automation and Intelligence

Artificial Intelligence (AI) is transforming how businesses manage contracts by automating workflows that reduce errors, speed up negotiations, and improve compliance. From drafting to execution, SutiCLM by SutiSoft enables teams to operate more efficiently and make better decisions with AI-powered automation throughout the contract process.

“AI is not just improving contract management; it is empowering teams to work smarter while dramatically reducing operational friction,” said ND Reddy, CEO and Chairman of SutiSoft. “SutiCLM streamlines the entire contract lifecycle, enabling businesses to create, negotiate, approve, and securely store contracts from a unified solution.”

This press release emphasizes how SutiCLM leverages AI to reduce contract cycle time, minimize risk, and ensure consistent contract management, making contract management a strategic driver of business success.

Marketing Technology News: MarTech Interview with Miguel Lopes, CPO @ TrafficGuard

Strategic Advantages of AI-Powered Contract Automation

AI Summarization & Insights

AI summarization and insights transform complex contracts into clear, actionable intelligence by highlighting key terms, obligations, and risks, empowering teams to quickly mitigate risk, ensure compliance, and make informed decisions with confidence.

Clause Suggestions

The comprehensive clause library enables teams to draft agreements quickly with pre-approved contract templates, minimizing risk and ensuring consistency across all contracts.

Risk Detection

SutiCLM’s AI engine proactively identifies nonstandard clauses, missing terms, and potential risks early in the contract process, giving teams the insight they need to negotiate favourable terms and prevent costly mistakes after signing.

Marketing Technology News: Disrupt or Be Disrupted: The AI Wake-Up Call for B2B Marketers

Instant Answers to Queries

With SutiCLM’s conversational AI, users can ask questions about payment terms, confidentiality clauses, and other contract details, enabling teams to make informed decisions quickly without waiting for legal review.

“Organizations that embrace AI-powered contract management can consistently shorten contract cycle times, enhance risk controls, and significantly reduce revenue leakage across the business,” added Reddy.

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What Happens to Attribution When the First Click Is AI?

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What Happens to Attribution When the First Click Is AI?

Digital marketers have long relied on attribution frameworks to understand how users discover brands and successfully convert. The traditional model of tracking clicks and multi-touch paths was integral to how brands allocated their budgets and justified the marketing spend of a given campaign.

Those days are fading fast, if not already gone. AI-generated search experiences now dominate the search experience and landscape. People skip search engines altogether, plugging their search queries into an LLM like ChatGPT. Even people whose first instinct is still to go straight to Google are served an AI overview prior to the list of links generated in response to their query. If they find the answer provided by the AI overview sufficient, they’re unlikely to trawl through the links below and click on one.

For marketers whose work has lived and died by the whether or not the link gets clicked, this is either apocalyptic or transformational. The answer may be murky, but the prevailing question is clear: if no one clicks an ad or even a link, how do we assign value or optimize marketing investments?

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

AI acts as a discovery gateway, much as search engines did. Still, the dynamics of the user journey have been undeniably remade in ways that challenge existing attribution models.  Instead of clicking through multiple search results or scrolling ads, AI provides concise summaries that synthesize vast amounts of data into digestible overviews. No longer can marketers perfectly track the touchpoints of a user journey where someone searches for a product, clicks on a paid or organic link, lands on a brand site, and makes a purchase.

In other words, marketers have no way of tracking a journey that starts inside an LLM with a summarized response rather than a list of links. Even if the purchase still happens, how the user got there and why they made that purchase is opaque. A black box has come down around conversion. If you’re a marketer, that’s a problem.

Attribution is Dead, Long Live Attribution

Is this the death of attribution? Yes and no.

It’s certainly a major sea change. The era of path-based tracking is actively giving way to outcome-driven frameworks that focus less on how users got there and more on what happens after they arrive.

Even when traffic originates in AI-driven, non-click environments, platforms like Meta and Google still require conversion signals to fuel their own AI-driven optimization engines. These platforms rely heavily on post-conversion feedback loops to train machine learning models and improve ad delivery. Inaccurate conversion data diminishes their ability to optimize, resulting in poorer campaign performance.

Conversion APIs thus become critical in a post-click Internet. They allow brands to send clean purchase and event data directly to advertising platforms, bypassing browser limitations and privacy blockers. As AI-driven discovery obscures the early user journey, these APIs provide the essential post-conversion visibility that powers platform optimization.

Defining Outcome-Centric Attribution

Traditional attribution frameworks try to piece together user journeys across channels, from first to last touch. When those journeys begin in a summarized AI response or voice assistant interaction, reconstructing each step becomes guesswork at best, and basically impossible at worst.

Brands should now focus on structured outcome data that closes the loop regardless of the journey’s opacity. Absent cookies, data hygiene and consent-driven data collection will be key to the proper function of a robust data infrastructure.

To work, the new AI-minded marketing infrastructure must be able to collect and clean purchase data, enrich it with contextual signals, and feed it back into ad platforms via conversion APIs or similar mechanisms. This will move measurement upstream towards business outcomes like sales and lead generation.

Data, sales, and marketing teams need to work together to successfully manage this transition. Purchase and conversion data must be unified across channels and cleansed of duplicates or inaccuracies. Investing in data warehouses and customer data platforms that centralize this information will pay dividends later. Budget conversations need to shift focus from channel-level metrics to business outcomes. Incrementality testing and lift analysis will better validate where marketing is truly driving growth, not just clicks or impressions. Only continuous testing of new attribution approaches and conversion tracking methods will show marketers what truly works best for their specific brands and audiences.

The future of attribution will not resemble the past, even if the end goal of making a sale stays the same. It will be less about tracking every click and more about feeding clean and structured purchase data back into AI-powered platforms to unlock smarter optimization.

Brands that invest in conversion APIs to focus on outcome-driven measurement (fed by squeaky clean data) will gain the strategic advantage here. Closing the loop on conversions is the new currency of marketing success. Invest wisely.

New Relic Launches Observability Solution for Complete Visibility into ChatGPT Apps

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AgentRush Launches as a Curated Directory for AI Agents

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Innovative engineering teams building ChatGPT apps can now eliminate the ‘black box’ of embedded AI to optimize this new sales channel and drive additional revenue streams

Monitoring for ChatGPT apps empowers businesses to confidently integrate their offerings into AI prompt answers

New Relic, the Intelligent Observability company, announced monitoring for ChatGPT apps, becoming the industry’s leading solution that provides businesses with complete visibility of their apps that live within ChatGPT. The solution gives businesses the ability to monitor the performance, reliability, and user experience of custom ChatGPT apps, extending critical insights to developers so they can proactively resolve costly application issues and confidently capitalize on opportunities with generative AI.

With New Relic’s observability solution for ChatGPT apps, engineering teams can now eliminate the ‘black box’ of embedded AI to optimize this new sales channel and drive additional revenue streams

“Bringing business services into the natural flow of a ChatGPT conversation is a powerful, intuitive, and revenue-generating strategy,” said New Relic Chief Product Officer Brian Emerson. “But once your carefully crafted application instantiates inside ChatGPT, it traditionally enters a black box where standard browser monitoring tools can fail. At New Relic, we’ve worked quickly to stay steps ahead of customers who want to maximize this opportunity, ensuring that businesses monetizing gen AI aren’t flying blind when it comes to user experience and system health.”

The I-frame Blind Spot: Seeing Through the GenAI Sandbox

Billions of people visit ChatGPT each month. Seizing on this opportunity to engage with this audience, businesses are building ChatGPT apps that bring their goods and services directly into the conversational interface. However, standard browser monitoring tools often falter in these restricted environments. For example, when an app is rendered in an i-frame in a conversation, one cannot see layout shifts, broken buttons, or the reason why users are leaving. Similarly, complex security headers, content security policies (CSPs), i-frame sandbox rules and limitations on client-side storage can obscure vital performance and user experience data.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

These visibility challenges are particularly perilous with AI-rendered results, where applications may face “hallucinated” user interface (UI) elements that look correct but function incorrectly, AI-generated text that breaks a carefully planned CSS layout, or even “ghost citations” where the AI references data that the app’s backend never actually provided. Without deep observability, these programmatic inconsistencies can remain invisible to the developer.

Unlocking Full-Stack Clarity for ChatGPT Custom Apps

ChatGPT app monitoring offers deep telemetry to ensure AI-generated UIs are functional, high-performing, and conversion-ready. Before developers can begin to fix a hallucination, they have to know about it. Traditional telemetry remains the backbone of this visibility, and New Relic’s browser agent is uniquely equipped to collect and analyze the data. The agent delivers instant insight into the latency and connectivity of an application within the GPT i-frame, alerts developers if a dynamic AI response triggers script or syntax failures in the user’s browser, and catches log items triggered to the console — providing real time granular monitoring.

New Relic automatically tracks exactly how a user interacts with the content in the business’s custom app, from successfully clicking “buy now” to not engaging at all. Businesses are in control of specific benchmarks and event-driven analytics. For example, users can send a custom event every time an LLM successfully populates a chart according to specification, allowing developers to build dashboards that track “AI Render Success” versus “User Bounce Rate.” With New Relic, developers can stop guessing how their app performs when it’s hosted by someone else, while also maintaining the highest security and privacy standards.

The ChatGPT app monitoring solution delivers:

  • User Frustration Detection: Rage clicks, error clicks, and dead clicks can help identify when an application is causing friction for end users.
  • Layout Instability Monitoring: Track Cumulative Layout Shift (CLS) within the i-frame as the AI streams content in. Excessive CLS can cause a frustrating user experience.
  • Cross-Origin Insights: Gain a deep understanding of how an application performs when it doesn’t own the top-level window, helping developers optimize for different host environments.
  • End-to-End Traceability: Connect the user’s interaction in the ChatGPT i-frame all the way through to backend services, providing a complete picture of every transaction.

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Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

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Fivetran Selected by Vistaprint to Power Data Activation and Personalized Customer Experiences

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Vistaprint uses Fivetran to activate governed first-party data across advertising and owned channels, improving targeting efficiency, experimentation, and AI initiatives

Fivetran, the global leader in automated data movement, announced that Vistaprint, the design and marketing partner to millions of small businesses, has selected Fivetran to support its shift toward modern data activation and AI-ready customer experiences. With Fivetran powering secure, automated data pipelines and reverse ETL, Vistaprint is connecting governed first-party data directly into the tools its teams use every day across its marketing and customer engagement ecosystem.

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL.

Vistaprint relies on data to enhance personalization, optimize marketing performance, and streamline operations. The company uses AWS, Snowflake, and analytics tools like Statsig to understand how small businesses engage with its platform. As part of a multi-year modernization effort, Vistaprint has moved from on-premises systems to a cloud-first architecture and adopted a data mesh strategy that treats data as a trusted, shared resource across teams.

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

“Vistaprint’s business is built on helping small businesses look professional and connect with customers, and data is central to that mission,” said George Fraser, CEO of Fivetran. “By using Fivetran to activate trusted first-party data across both paid and owned channels, Vistaprint can move faster, personalize experiences more effectively, and support AI-driven initiatives with confidence. We’re proud to support their evolution into a modern, data-driven organization.”

Fivetran automates data movement from Vistaprint’s core systems into Snowflake and activates that governed data back into operational tools using reverse ETL. In paid channels, Vistaprint uses reverse ETL to enrich platforms such as Google and Meta with first-party data, enabling more precise targeting and improved return on ad spend in programmatic advertising. This approach allows marketing teams to rely less on third-party signals and more on accurate, internally governed customer data.

Reverse ETL also plays a critical role in Vistaprint’s owned-channel experimentation and optimization strategy. As part of an audience testing stack that includes Statsig, Iterable, and Contentful, reverse ETL is used to define and sync control and test groups across platforms. This ensures a single source of truth for audience eligibility, enabling consistent measurement of uplift across omnichannel campaigns and improving the reliability of experimentation results.

“Our marketing teams need fast access to trusted data in the platforms where campaigns are planned, launched, and optimized,” said Drew Forster, Director of Marketing Optimization at Vistaprint. “Fivetran makes that possible by activating data directly into our marketing and customer engagement tools. It has changed how quickly we can personalize campaigns, test new ideas, and support the AI initiatives we’re investing in. We’re moving faster and making decisions with more confidence because the data is always there when we need it.”

As Vistaprint expands its use of AI to improve recommendations, enhance design workflows, and deliver more tailored customer interactions, these initiatives depend on reliable, high-quality data flowing into operational systems. Fivetran ensures governed data is continuously moved and activated through reverse ETL, so teams can work with consistent information directly inside their decision-making tools.

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New Global Report Finds Enterprises Hitting Agentic AI Inflection Point

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Research shows enterprises increasing investment while scaling cautiously until reliability can be proven in production

Dynatrace , the leading AI-powered observability platform, released The Pulse of Agentic AI 2026, an inaugural global study focused on how observability and reliability determine the successful operationalization of agentic AI. The survey of 919 senior global leaders responsible for agentic AI implementation reveals that enterprises are not stalling because they doubt AI, but because they cannot yet govern, validate, or safely scale autonomous systems.

A structural shift: reliability as the gating factor

The research found that approximately ~50% of projects are in Proof-of-Concept (POC) or pilot stage. Adoption is still early but growing rapidly with 26% of organizations having 11 or more projects. As organizations move beyond experimentation and into scaled deployment, they are increasingly seeking platforms that are reliable, trustworthy, and proven.

This shift is reflected in both ambition and execution, with 74% expecting budgets to rise again next year. These findings point to a structural inflection point where reliability, resilience, governance, and real-time insight define enterprise readiness for agentic AI.

Key findings from the report:

  • Almost half (48%) of the senior global leaders surveyed anticipate budget increases of at least $2M, suggesting investments are still prudent.
  • AI agents are most commonly deployed within IT operations and DevOps (72%), followed by software engineering (56%) and customer support (51%).
  • Of those surveyed, business leaders say improving decision-making with real-time insights is top priority (51%) when deploying agentic AI, followed closely by improving system performance and reliability (50%) and improving internal efficiency to reduce operational costs (50%).
  • The greatest ROI expected for agentic AI projects is in ITOps/system monitoring (44%), cybersecurity (27%) and data processing & reporting (25%).
  • The top two main barriers to agentic AI production at this time are security, privacy or compliance concerns (52%) and technical challenges to managing and monitoring agents at scale (51%), followed by shortage of skilled staff or training (44%).

Trust and human oversight

Organizations signal that human guidance remains a purposeful part of agentic AI strategy, even as they build toward greater autonomy. The report shows leaders expect a 50/50 human–AI collaboration for IT and routine customer-support applications and a 60/40 human–AI collaboration for business applications, signaling that human judgment guides the system by setting goals, defining boundaries, and ensuring accountability.

Additional findings include:

  • While over half (64%) of organizations deploy a mix of autonomous and human-supervised agents, 69% of agentic AI–powered decisions are still verified by humans, and 87% of organizations are actively building or deploying agents that require human supervision.
  • Only 13% of organizations use fully autonomous agents, and just 23% rely exclusively on human‑supervised agents.
  • The top validation methods include data quality checks (50%), human review of agent outputs (47%), and monitoring for drift or anomalies (41%).
  • 44% still use manual methods to review communication flows among AI agents, highlighting the need for more automated, governed oversight mechanisms. Autonomy.

“Organizations are not slowing adoption because they question the value of AI, but because scaling autonomous systems safely requires confidence that those systems will behave reliably and as intended in real-world conditions,” said Alois Reitbauer, Chief Technology Strategist at Dynatrace. “With most enterprises now spending millions of dollars annually and planning further budget increases, agentic AI is becoming a core part of digital operations. At the same time, the data shows a clear shift underway. While human oversight remains essential , organizations are increasingly preparing for more autonomous, AI-driven decision-making. The focus is now on building the trust and operational reliability needed to scale agentic AI responsibly.”

Marketing Technology News: MarTech Interview with Michael McNeal, VP of Product at SALESmanago

Observability enables trust and scale for Agentic AI

As organizations scale agentic AI beyond pilot projects, observability is the crucial intelligence layer that helps to build trust by providing visibility across every stage of the agentic AI lifecycle, from development and implementation through to operationalization. The report found that observability is already used across the entire lifecycle, with the highest adoption during implementation (69%), followed by operationalization (57%) and development (54%), underscoring its role as a foundational capability as agentic AI moves into production.

Additionally, the report found:

  • Nearly 70% of organizations surveyed already use observability during agentic AI implementation to gain real-time visibility into agent behavior, system performance, and decision-making in production environments.
  • 50% use agentic AI for both internal and external use cases, 33% for internal purposes only, and 18% for external purposes only.
  • 50% have agentic AI projects in production for limited use cases, 44% have projects in broad adoption across select departments, and 23% have projects in mature, enterprise-wide integration.

“Observability is a vital component of a successful agentic AI strategy,” continued Reitbauer. “The Dynatrace AI Center of Excellence (AI CoE) works with many of our largest customers, and as organizations push toward greater autonomy, they need real-time visibility into how AI agents behave, interact, and make decisions. Observability not only helps teams understand performance and outcomes, but it provides the transparency and confidence required to scale agentic AI responsibly and with appropriate oversight.”

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CrafterCMS Announces New Cursor AI Skill That Accelerates Digital Experience Development

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CrafterCMS Announces New Cursor AI Skill That Accelerates Digital Experience Development

New open-source AI skill converts HTML design templates quickly into a fully-managed website within minutes.

CrafterCMS, the enterprise-grade, Java-based headless CMS, announced the release of a new Cursor AI skill designed to dramatically accelerate CMS-managed digital experience development.

The new skill, available now via the CrafterCMS Marketplace and as an open source project on Github, enables developers to convert existing HTML website design templates into fully managed CrafterCMS projects in minutes using AI-assisted workflows inside Cursor.

Instead of spending days or weeks converting static templates into CMS-managed experiences, teams can now do it in minutes…”

— Mike Vertal, CEO of CrafterCMS

From Static HTML to Fully Managed Experiences Automatically

Modern digital teams often start with static HTML templates provided by design agencies, UI kits, or third-party marketplaces. Traditionally, transforming those templates into CMS-managed experiences requires significant manual effort that includes rewriting markup, wiring templates to content models, and integrating CMS APIs.

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The new CrafterCMS Cursor AI skill automates this process.

By leveraging AI directly inside the CrafterCMS environment, the skill analyzes raw HTML templates and “crafterizes” them: generating the structure, configuration, and integration needed to run as a fully managed CrafterCMS site backed by Git-based workflows.

“This release demonstrates how AI can dramatically improve developer productivity in real-world CMS projects,” said Mike Vertal, CEO of CrafterCMS. “Instead of spending days or weeks converting static templates into CMS-managed experiences, teams can now do it in minutes, directly within the user-friendly CrafterCMS authoring environment.”

Key Capabilities and Benefits

The CrafterCMS Cursor AI skill enables development teams to:

– Instantly Convert HTML Templates into CrafterCMS Projects: Transform static markup into CMS-managed site projects with content models, templates, and structure generated automatically.

– Accelerate Digital Experience Development: Reduce repetitive setup work and focus development effort on business logic, integrations, and experience design.

– Leverage AI Inside the Developer Workflow: Leverage Cursor with AI-assisted transformations instead of relying on external scripts or manual refactoring.

– Align with Modern DevContentOps Practices: Built on CrafterCMS’s Git-based content repository, enabling version control, CI/CD, and collaborative workflows from day one.

– Remain Fully Open and Extensible: The skill is available under the MIT open source license, allowing teams to inspect, extend, and customize the workflow to match their architecture and standards.

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Built for Real-World CMS and DXP Teams

Content authors and editors benefit as well, allowing them to independently and rapidly create, edit, and publish content for their website and all other digital experiences, without waiting on developers.

This release is especially valuable for content teams that are building, managing and optimizing:

– Marketing and enterprise websites

– Customer portals and employee intranets

– Customer-facing applications and digital experiences

– Multi-site and multi-channel CMS deployments

By bridging AI-powered development tools with a production-grade, Java headless CMS, the Cursor AI skill helps teams move faster without sacrificing governance, scalability, or maintainability.

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